What computer should I use to run Stata/MP?
Stata/MP is a flavor of Stata that can perform symmetric multiprocessing (SMP) on a computer with multiple processors or cores.
Stata/MP is available for the following operating systems:
- Windows (64-bit x86-64)
- Windows (32-bit)
- Mac (64-bit Intel)
- Linux (64-bit x86-64)
- Linux (32-bit)
- Solaris (64-bit SPARC)
- Solaris (64-bit x86-64)
A
computer’s processor is often called the central processing unit, or
CPU. Computers can have multiple CPUs, and Stata/MP takes advantage of
this design to process data faster.
Also available are computers with processors that contain multiple
cores. A core is the computation engine of a CPU, consisting of integer
and floating-point processing units. Thus a computer with one dual-core
processor is similar to a computer with two processors. In fact,
Stata/MP does not distinguish between CPUs and cores; it is designed to
use systems with up to 64 cores—be they single core (one per CPU), dual
core (two per CPU), or multicore (many per CPU).
Most manufacturers sell multiprocessor computers as
servers. Thus your choice is to buy either a desktop computer with a
multicore CPU or a server computer with multiple processors, each of
which might or might not be multicore. Having more processors/cores
means that Stata/MP will run faster.
Be aware of the term “hyperthreaded”,
however. Stata/MP runs faster on hyperthreaded processors, but not as
fast as it would if you had full cores instead of hyperthreads.
Computers with multiple hyperthreaded processors are suitable for
Stata/MP. The number of real processors is the critical factor.
Both Intel and AMD manufacture chips
appropriate for Stata/MP. Either run a modern Windows operating system
(7, Vista, or newer) or run Linux.
Mac Intel-based dual-core computers are appropriate for Stata/MP. Stata/MP supports OS X.
Oracle computers with multicore 64-bit
SPARC processors running Solaris are appropriate for Stata/MP. Oracle
Solaris computers on x86-64 hardware can also run Stata/MP.
Regardless of the system you buy, the
most important thing you can do is to ensure that you have enough
memory to hold 1.5 times the maximum dataset size you plan to use.
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